Graph Databases are not Magic Cauldrons
To deliver, robust, practical, scalable enterprise applications, you should treat your graph database with the same care, attention, and good data governance as...
6 articles
To deliver, robust, practical, scalable enterprise applications, you should treat your graph database with the same care, attention, and good data governance as...
A discussion on the synergies between GraphQL and Graph Databases, data architecture and how ontology models provide the special ingredients.
The importance of establishing baseline technical viability as early as possible in technology delivery programs.
A discussion of AI and Data Science delivery anti-patterns, their impacts on data platform technical architectures, and strategies for reducing complexity and...
An architecture pattern for pull-based, automated content enrichment in media organisations.
A retrospective on resource identity and the practical implications of httpRange-14 following client handover on a very large semantic publishing program to a...